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Paper Citation Record · LEDGER

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks

As of 9 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2509.05320.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2509.05320 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:40:03.017481Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

20 of 20 outbound references displayed

  • verified exact1
  • verified fuzzy17
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6f7f3449-649e-493d-832b-1d3955696c70 · outbound

This paper cites A survey on the applications of frontier ai, foundation models, and large language models to intelligent trans- portation systems,.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks A survey on the applications of frontier ai, foundation models, and large language models to intelligent trans- portation systems,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:40:54.224900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:40:00.949446Z digest=sha256:fae94b97b42b7f7e266ef672a425ce30b6464e1c33d974f34b445575c113518b

Observation f686100f-865f-4178-9a50-4092e8203172 · outbound

This paper cites Machine learning applications in cr-iov,.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks Machine learning applications in cr-iov,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:40:53.958674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:40:01.047899Z digest=sha256:07b985985d18925163baff44beec36c72ec0434fe6fa1585b68f00c64217cd65

Observation 60ffccf9-de4e-4f88-a131-2ab67e48719b · outbound

This paper cites Large language model in suburban transport data management,.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks Large language model in suburban transport data management,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:40:53.832107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:40:01.159950Z digest=sha256:adf1b3567e192256223548358e71e4ba50a607b523df09d5002a4d10c00b49cc

Observation 0a7ddcb7-d931-4e4e-b1cd-e319956c14a7 · outbound

This paper cites Multi-access edge computing: A survey,.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks Multi-access edge computing: A survey,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:40:07.049245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:40:01.231895Z digest=sha256:6b06248ef6df1b4cd2c27fd6ed31f39e61a7b0ae8171d3fc03cb37adc0633878

Observation d8bff8ca-b3af-4ff8-b819-2ac85b61238a · outbound

This paper cites Vehicles Control: Collision Avoidance using Federated Deep Reinforcement Learning.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks Vehicles Control: Collision Avoidance using Federated Deep Reinforcement Learning

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:40:03.344415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:40:01.341779Z digest=sha256:2239aa123d64864c43700312153c5182f3f6149bf29321ff51583b65306187c5

Observation b1ac6b87-59db-41a1-88ad-df17bd47e446 · outbound

This paper cites Federated learning in vehicular networks: Opportunities and solutions,.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks Federated learning in vehicular networks: Opportunities and solutions,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:40:06.872571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:40:01.436411Z digest=sha256:2ac1e357e78d6ab9c1192eae6ad5476da70e8c91d991161a614f27319e90f4cb

Observation f780e8f1-a377-4f00-8543-2e5677dfb5cc · outbound

This paper cites Fedllm-bench: Realistic benchmarks for federated learning of large language models,.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks Fedllm-bench: Realistic benchmarks for federated learning of large language models,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:40:06.651402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:40:01.538224Z digest=sha256:d425b15d47ad4a341b2e7098db693ad2eae206adc8d02cd14b66358729ad0a4e

Observation 20e920a5-41c8-405f-a060-9fe4cf620fae · outbound

This paper cites Privacy-preserving federated learning in fog computing,.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks Privacy-preserving federated learning in fog computing,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:40:06.337577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:40:01.616921Z digest=sha256:d60f57d252dd2224227a5f4190232b3017771e20ad73a93feac79919a6f3224f

Observation 466b106f-b37b-4fc0-92f4-3fff53a6e4b6 · outbound

This paper cites Privacy-preserving traffic flow prediction: A federated learning approach,.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks Privacy-preserving traffic flow prediction: A federated learning approach,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:40:06.045654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:40:01.691607Z digest=sha256:009a0d6202a674cddf23d45f658fa42358bb19014c52b09149f8848ef45e414e

Observation f3dec489-3766-4f24-810e-204a3cfb8039 · outbound

This paper cites Ppfl: Privacy-preserving federated learning with trusted execution environments,.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks Ppfl: Privacy-preserving federated learning with trusted execution environments,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:40:05.837220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:40:01.793348Z digest=sha256:1409d3e7bb90e695da06f9e1ca1082388585d11da19d7ba8d8ce56304ff47277

Observation 57fbd173-f421-4f29-aa67-11afd206628f · outbound

This paper cites Federated learning in vehicular networks,.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks Federated learning in vehicular networks,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:40:05.598630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:40:01.867123Z digest=sha256:87bb56119d84622fed4aceff5724a83fcb73102dcb35ab9929c730b8b9343f97

Observation 0d9dbad8-0398-4160-80cd-b681c3a5d427 · outbound

This paper cites Flexe: Investigating federated learning in connected autonomous vehicle simulations,.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks Flexe: Investigating federated learning in connected autonomous vehicle simulations,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:40:05.185421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:40:01.957277Z digest=sha256:7805a332eb6831599675864846a8f9dc0d046e9e177ebbb7f0d2942b43318e5a

Observation 217a0f28-a6a9-4d55-a37b-5e196a0f5ac0 · outbound

This paper cites Blockchain-based federated learning for device failure detection in industrial iot,.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks Blockchain-based federated learning for device failure detection in industrial iot,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:40:05.001459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:40:02.094116Z digest=sha256:7be18b0ac73278cbfb8a395bc4366034de3d4d631069a85cd4daac1c779411ea

Observation 7afa417d-fb19-43ae-91d4-12ed9673267e · outbound

This paper cites When edge meets learning: Adaptive control for resource-constrained distributed machine learning,.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks When edge meets learning: Adaptive control for resource-constrained distributed machine learning,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:40:04.737271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:40:02.218657Z digest=sha256:0fb8c05c2e1ae58c7e5fa857e01732a2e26cd8a31db3062c302ed9d64404a09a

Observation 20bf224a-38d0-4e80-9066-da95bf353584 · outbound

This paper cites Resource allocation in large language model integrated 6g vehicular networks,.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks Resource allocation in large language model integrated 6g vehicular networks,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:40:04.417698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:40:02.331567Z digest=sha256:43076f33dad4d45eb74566995d97c7c4ceaf0d271efd4fc04993e2dad9e9f256

Observation 02a8a519-dfaa-4226-ad88-9eccf132ed79 · outbound

This paper cites When large language model agents meet 6g networks: Perception, grounding, and alignment,.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks When large language model agents meet 6g networks: Perception, grounding, and alignment,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:40:04.157421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:40:02.492189Z digest=sha256:b75d2f00dc432fddcc430f38159dddc82074f0fe69899b48cb05e9ffa52e45be

Observation 4e40fca1-0009-4d32-862a-4aca4bd69330 · outbound

This paper cites Large language models in 6G security: challenges and opportunities.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks Large language models in 6G security: challenges and opportunities

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T13:40:02.594960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:40:02.594960Z digest=sha256:9df695cb35c8332fa43727a935f4168d0069e0ea21c334e731cd20e9aa5d8ff7

Observation 25b84527-971d-4eec-91b5-1e00563cbfc1 · outbound

This paper cites Security and privacy for 6g: A survey on prospec- tive technologies and challenges,.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks Security and privacy for 6g: A survey on prospec- tive technologies and challenges,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:40:03.928507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:40:02.748135Z digest=sha256:156a3f9d5a7e813bbfc26ad827be68b5d86569e5a862fd1e0093d9a1423cb9ef

Observation 3c8626de-1789-4720-a5b8-ce62dedeab69 · outbound

This paper cites Quantum-empowered federated learning and 6g wire- less networks for iot security: Concept, challenges and future directions,.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks Quantum-empowered federated learning and 6g wire- less networks for iot security: Concept, challenges and future directions,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:40:03.596611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:40:02.878492Z digest=sha256:4c76ea3f56dc6cd170cf94b48315e0076be9358e9cbd7e5efd03353c7e131fdb

Observation 2a1b1e2c-6461-4fd9-8cf1-5f963e96a70a · outbound

This paper cites A survey on transformers in nlp with focus on efficiency,.

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks A survey on transformers in nlp with focus on efficiency,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T13:40:03.017481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:40:03.017481Z digest=sha256:a55069a31501b8283ceefe428cff32abc17cb45a4dd28955a397df5a7ceb9bb2

Pith citing papers

No inbound Pith citation observations are available.